搜索资源列表
最小二乘算法源程序代码
- 用于系统辨识的参数估计的最小二乘算法源程序代码
递推最小二乘估计算法
- 对于输入、输出数据较多的情况下,一次性完成的最小二乘估计算法计算量很大,速度降低而且有可能出现病态矩阵的情况,递推的最小二乘估计算法解决了上述问题。
guji
- 系统辨识中,递推最小二乘估计(RLS)是辨识模型阶次的一个重要的算法。该程序通过实现该算法,得到模型阶次的估计值以及相关参数值。-system identification, recursive least squares estimation (RLS) identification model is of the order of an important algorithm. The program through the rea
RWLS
- 用matlab编写的一个程序,实现系统辨识中的最小二乘递推算法,有运行结果和图形.-using Matlab a procedure for the preparation, system identification achieve the recursive least squares algorithm, running results and graphics.
rels
- 这是黑龙江大学自控理论杨易朋同学在最优估计课程当中用matlab编写的递推增广最小二乘算法!-This is the theory of Heilongjiang University, Yang Yi-controlled peer students in courses optimal estimate prepared by using Matlab recursive least squares algorithm to bro
45699GAtools
- 好用的。系统辨识中,递推最小二乘估计(RLS)是辨识模型阶次的一个重要的算法。该程序通过实现该算法,得到模型阶次的估计值以及相关参数值。 -refrain. System identification, estimation recursive least squares (RLS) identification model is of the order of an important algorithm. The procedu
LS
- 此源码在c++环境下,实现实现最小二乘估计算法的计算。-This source in c++ Environment, realize realize the calculation of least squares estimation algorithm.
FitFunc
- 本算法包括最大似然估计,最小二乘估计,基于EM算法的多种混合高斯分布估计,EM算法测试实例,绘制每种分布的plot函数。非常有参考价值!-This algorithm, including maximum likelihood estimation, least squares estimation, based on the EM algorithm estimate a mixture Gaussian distribution,
FittFunc
- 多种概率分布的拟合函数集合 本算法包括最大似然估计,最小二乘估计,基于EM算法的多种混合高斯分布估计,EM算法测试实例,绘制每种分布的plot函数。非常有参考价值!-Fitting a wide range of probability distribution functions including the collection of this algorithm maximum likelihood estimation,
TLSesprit
- 总体最小二乘法的ESPRIT方法,这种算法的估计精度明显好于原来的ESPRIT算法。可以很好的估计出信号的角度。仿真中用的是均匀阵列。-Total least squares method of the ESPRIT method, the algorithm of the estimation accuracy significantly better than the original ESPRIT algorithm. Can b
levmar-2.3
- 最新的Levenberg Marquardt 算法。用于非线性最小二乘问题的参数估计和优化!-Latest Levenberg Marquardt algorithm. Nonlinear least squares problem for parameter estimation and optimization!
stateestimation
- 状态估计优秀硕士论文,提出了一种基于分块雅可比矩阵的加权最小二乘估计算法;提出了潮流岛状态变量的概念,用潮流岛的状态变量代替岛内所有节点的状态变量-State estimation for outstanding master
LMS
- 用总体最小二乘算法进行ARMA功率谱估计,本文提供一个估计谱的实例。-Total least squares algorithms using ARMA power spectrum is estimated that this article provide an example of the estimated spectrum.
m12_3
- 为了改善噪声e(k)为有色噪声模型的系统参数估计的统计特性,提出了一种增广矩阵的方法,称为增广最小二乘算法,MATLAB实现范例-In order to improve the noise e (k) for the colored noise model of the system parameters estimated statistical characteristics, an Augmented Matrix method,
LMS
- 简单的最小二乘逼近算法,用于系统辨识,方便修改噪声参数和系统参数,为系统辨识和仿真作业的源代码。-Simple least-squares approximation algorithm for system identification to facilitate the modification of system parameters and noise parameters for the system identificati
d9000mpi3
- 对互谱法被动测距的原理及算法各个环节进行仿真验证:加权最小二乘估计中权系数的选取;相关窗长度的选取;各频段综合方法等等。最后实现了对9000m—15000m距离的测距-Cross-spectral method for passive ranging all aspects of theory and algorithms for simulation: weighted least squares estimation of the
AutomatedNegotiatioDecisionModelasedonMachineLearn
- 模型利用协商历史中隐含的信息自动对数据进行标注以形成训练样本,用最小二乘支持向量回 归机学习此样本得到对手效用函数的估计,然后结合自己和对手的效用函数构成一个约束优化问题,用遗传算法求 解此优化问题,得到的最优解就是己方的反建议.实验结果表明,在信息保密和没有先验知识的条件下,此模型仍然 表现出较高的效率和效用-The proposed model labels the negotiation history data au
Two-Arrays-bearing-target-tracking-algorithm-for-u
- 双基阵纯方位目标跟踪无偏最小二乘估计算法Two Arrays bearing target tracking algorithm for unbiased least squares estimation-Two Arrays bearing target tracking algorithm for unbiased least squares estimation
多级最小二乘
- 多级最小二乘参数估计算法,能够估计ARX结构的模型的参数(multi-level least square parameter estimation algorithm, suitable for estimating the parameters of an ARX model)
自适应控制(有突变无阶次辨识)
- 带遗忘因子的递推最小二乘参数估计以及带有辅助变量的广义最小方差自校正控制算法及结果,源码可找我要(Recursive Least Squares Parameter Estimation with Forgetting Factor and Generalized Minimum Variance Self-Tuning Control Algorithm with Auxiliary Variables and Results)